# itercumeanabs > Create an [iterator][mdn-iterator-protocol] which iteratively computes a cumulative [arithmetic mean][arithmetic-mean] of absolute values.
The cumulative [arithmetic mean][arithmetic-mean] of absolute values is defined as
Equation for the cumulative arithmetic mean of absolute values.
## Usage ```javascript var itercumeanabs = require( '@stdlib/stats/iter/cumeanabs' ); ``` #### itercumeanabs( iterator ) Returns an [iterator][mdn-iterator-protocol] which iteratively computes a cumulative [arithmetic mean][arithmetic-mean] of absolute values. ```javascript var array2iterator = require( '@stdlib/array/to-iterator' ); var arr = array2iterator( [ 2.0, 1.0, 3.0, -7.0, -5.0 ] ); var it = itercumeanabs( arr ); var m = it.next().value; // returns 2.0 m = it.next().value; // returns 1.5 m = it.next().value; // returns 2.0 m = it.next().value; // returns 3.25 m = it.next().value; // returns 3.6 ```
## Notes - If an iterated value is non-numeric (including `NaN`), the function returns `NaN` for **all** future iterations. If non-numeric iterated values are possible, you are advised to provide an [`iterator`][mdn-iterator-protocol] which type checks and handles non-numeric values accordingly.
## Examples ```javascript var runif = require( '@stdlib/random/iter/uniform' ); var itercumeanabs = require( '@stdlib/stats/iter/cumeanabs' ); // Create an iterator for generating uniformly distributed pseudorandom numbers: var rand = runif( -10.0, 10.0, { 'seed': 1234, 'iter': 100 }); // Create an iterator for iteratively computing a cumulative mean of absolute values: var it = itercumeanabs( rand ); // Perform manual iteration... var v; while ( true ) { v = it.next(); if ( typeof v.value === 'number' ) { console.log( 'meanabs: %d', v.value ); } if ( v.done ) { break; } } ```